Inventory of Antarctic ice rises and rumples (version 1)

This dataset provides the first-of-the-kind inventory of Antarctic ice rises and rumples, which was developed and described by Matsuoka et al. (2015). The inventory is based on available grounding-zone products and some additional visual interpretation of satellite imagery. Beginning with the island...

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Bibliographic Details
Main Authors: Moholdt, Geir, Matsuoka, Kenichi
Format: Dataset
Language:unknown
Published: npolar.no 2015
Subjects:
Moa
IPY
Online Access:https://dx.doi.org/10.21334/npolar.2015.9174e644
https://data.npolar.no/dataset/9174e644-3540-44e8-b00b-c629acbf1339
Description
Summary:This dataset provides the first-of-the-kind inventory of Antarctic ice rises and rumples, which was developed and described by Matsuoka et al. (2015). The inventory is based on available grounding-zone products and some additional visual interpretation of satellite imagery. Beginning with the island polygons of the MODIS Mosaic of Antarctica (MOA) 2003-2004 product (Haran et al., 2005; Scambos et al., 2007), we extracted all island polygons that were contained within an ice shelf, assuming that they represent ice rises or rumples. We then updated this dataset using the new MOA 2009 product as well as independent grounding-zone points from SAR interferometry (Rignot et al., 2011) and ICESat altimetry (Fricker et al., 2009; Brunt et al., 2010). This preliminary inventory was then manually edited and updated based on visual interpretation of the two MOA image mosaics, the high-resolution Landsat Image Mosaic of Antarctica (LIMA) (Bindschadler et al., 2008), and the IPY-MEaSUREs Antarctica velocity map (Rignot et al., 2011). We also digitized polygons around the most prominent ice ridges and domes within the continental grounding zone. We classified the features into four classes (ice rises, promontories/ridges, ice rumples and nunataks) and extracted basic statistical attributes on parameters such as area, surface velocity, surface elevation, bed elevation, ice thickness and surface slope. Please refer to Matsuoka et al. (2015) and the relevant metadata for more details.